Spatio-temporal prediction model of out-of-hospital cardiac arrest: Designation of medical priorities and estimation of human resources requirement.

Spatio-temporal prediction model of out-of-hospital cardiac arrest: Designation of medical priorities and estimation of human resources requirement.

<h4>Aims</h4>To determine the out-of-hospital cardiac arrest (OHCA) rates and occurrences at municipality level through a novel statistical model accounting for temporal and spatial heterogeneity, space-time interactions and demographic features. We also aimed to predict OHCAs rates and...

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Bibliographic Details
Main Authors: Angelo Auricchio, Stefano Peluso, Maria Luce Caputo, Jost Reinhold, Claudio Benvenuti, Roman Burkart, Roberto Cianella, Catherine Klersy, Enrico Baldi, Antonietta Mira
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2020-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0238067

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https://doi.org/10.1371/journal.pone.0238067

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